Mobile-health: A review of current state in 2015

By Bruno M. C. Silva, Joel J. P. C. Rodrigues, Isabel de la Torre Díez, Miguel López Coronado, Kashif Saleem. Journal of Biomedical Informatics, 2015

963 citations recorded by the source corpus.

Health telematics is a growing up issue that is becoming a major improvement on patient lives, especially in elderly, disabled, and chronically ill. In recent years, information and communication technologies improvements, along with mobile Internet, offering anywhere and anytime connectivity, play a key role on modern healthcare solutions. In this context, mobile health (m-Health) delivers healthcare services, overcoming geographical, temporal, and even organizational barriers. M-Health solutions address emerging problems on health services, including, the increasing number of chronic diseases related to lifestyle, high costs of existing national health services, the need to empower patients and families to self-care and handle their own healthcare, and the need to provide direct access to health services, regardless of time and place. Then, this paper presents a comprehensive review of the state of the art on m-Health services and applications. It surveys the most significant research work and presents a deep analysis of the top and novel m-Health services and applications proposed by industry. A discussion considering the European Union and United States approaches addressing the m-Health paradigm and directives already published is also considered. Open and challenging issues on emerging m-Health solutions are proposed for further works.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, General Health Professions

View Paper: https://www.semanticscholar.org/paper/e692bcf21422b70759624e4d01e3959ea563a136

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Giuseppe Aceto
2. Valerio Persico
3. Antonio Pescapè
4. Dinh C. Nguyen
5. Pubudu N. Pathirana

In Computer Vision and Pattern Recognition

1. Thien Huynh-The
2. Quoc-Viet Pham
3. Joel J. P. C. Rodrigues
4. Dinh C. Nguyen
5. Valerio Persico
6. V. H. C. de Albuquerque
7. Antonio Pescapè
8. Giuseppe Aceto

In General Health Professions

1. Valerio Persico
2. Antonio Pescapè
3. Giuseppe Aceto

Citations in the corpus

• The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “tion alarms, reminder scheduling, setup reminders, and medication intake tracking [256].”
• Enabling Technologies for the Internet of Health Things (2018, background): “Moreover, nowadays, healthcare or ambient assisted living solutions cannot be proposed and designed without considering mobile health support [40].”
• Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts (2020, background): “This is referred to as mobile health or mHealth in the literature [40].”